Who we are

A studio of senior engineers, obsessed with making software useful.

Talee Ltd is an information technology company offering AI-powered IT services for companies, researchers, developers and individuals worldwide. We are client-centred, quality-conscious, and small enough to care.

Abstract circuit board illustration representing AI infrastructure
Our approach

A new world of business and software.

Operating in both the private and public sector, we understand our clients' business requirements and provide solutions using high-quality people with relevant expertise — onsite or remote, as part of your team.

We are passionate about delivering outstanding software products with guaranteed cost savings, focusing our investment on the right expertise, infrastructure and talent.

From our headquarters in London we work with organisations across the United Kingdom, Europe, the Middle East and North America. We embed senior engineers into your teams, augment your delivery capacity, or take ownership of complete product builds end-to-end.

Mission

To make intelligent software a practical advantage for every organisation we work with — not a future promise, but a present-day capability.

Vision

A world where AI works quietly and reliably in the background of business — measurable, governable and trusted.

Why us

Six reasons teams choose Talee.

01

Experience

A decade serving global clients across finance, health, retail and the public sector — across regulated and high-stakes environments.

02

Quality

A dedicated QA practice and senior-only engineering. Every line shipped is reviewed by people who have written production code at scale.

03

Cost effective

Lean teams, clear scopes and geographical leverage that we pass on to clients without compromising on talent.

04

Simplicity

We unify and simplify. The best systems are the ones you don't have to think about.

05

Customer service

Direct lines to the engineers who built it. No tier-one queues, no account-manager telephone game.

06

Partnerships

Strategic alliances with Microsoft, AWS, NVIDIA and the platforms that power modern AI and cloud.

Story

A decade of building.

2014

Founded in London

Talee Ltd is established as a boutique software studio focused on data-heavy enterprise systems.

2017

AI practice formalised

Dedicated machine learning team launched, shipping early production ML for finance and retail clients.

2019

Microsoft Partner

Subsidiary Microsoft License launched as a Tier-1 Cloud Solution Provider for the Microsoft stack.

2021

Computer vision lab

In-house vision lab established for manufacturing, healthcare and document AI workloads.

2023

LLM & agent platform

Internal platform shipped for evaluating, deploying and observing LLM-powered features in production.

2026

100+ clients served

Talee crosses 100 named clients across 14 countries, with a 98% retention rate.

Engineering principles

How we work, every project.

These principles are not aspirations on a wall — they are the criteria we use in code review, architecture sign-off and project retrospectives.

01

Outcomes over output

We measure success by the change in your business — not the number of tickets closed.

02

Senior by default

Every team has at least one principal engineer. Juniors learn on our internal R&D, not on your project.

03

Smallest viable system

We pick the smallest set of moving parts that solves the problem, then harden it. Fewer parts, less to break.

04

Honest evaluation

We tell you when AI is the wrong answer. A regex, a CRUD app or a phone call often is.

05

Boring infrastructure

We choose proven technology over novel technology, except where the novelty is the point.

06

Document everything

Architecture decisions, runbooks, evaluation reports — handed over so you can run it without us.

Practices

Four practices, one team.

Engineering

Senior practitioners across AI, data, cloud and product. No outsourced delivery.

Research

An applied research practice that turns papers into products — within weeks, not quarters.

Delivery

PMs and tech leads embedded with clients, accountable to outcomes — not story points.

Security

Dedicated security review on every project. ISO-aligned controls and SOC 2 readiness.

Footprint

Headquartered in London. Working globally.

Our office at 207 Regent Street is the centre of gravity for our delivery and consulting teams. We collaborate across time zones with engineering pods in Europe and the Middle East, and partner networks across North America.

14
Countries served
Tier-1
Microsoft Partner
98%
Client retention
Work with us
About Talee

What clients ask before working with us.

06 · Questions

01

How is Talee structured as a consultancy?

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We operate as a senior-only delivery firm: applied research, engineering and security work side-by-side on every engagement, with a named tech lead accountable to outcomes rather than story points.

02

Where are you headquartered and where do you deliver?

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Our head office is at 207 Regent Street in London. We deliver across Europe, the Middle East and North America through engineering pods and trusted partner networks, working in clients' time zones.

03

What size of organisation do you typically work with?

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Most of our work is with mid-market and enterprise teams — regulated industries, scale-ups past Series B, and Microsoft estates between 250 and 25,000 seats. We also support selected public-sector and research programmes.

04

Are your engineers employees or contractors?

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Every senior on a Talee engagement is a permanent member of our practice. We do not subcontract delivery work, which is how we keep accountability, security clearance and code quality consistent.

05

What certifications and partnerships do you hold?

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Talee is a Microsoft Solutions Partner and operates ISO-aligned security controls with SOC 2 readiness. Individual engineers hold Azure, AWS, Databricks and security certifications relevant to their practice area.

06

How do you handle confidentiality and IP?

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All staff sign comprehensive NDAs and we default to client-owned IP on every contract. We can work inside client tenants, isolated environments, or our own hardened delivery enclave depending on the data classification.